Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Liukui Chen"'
Publikováno v:
Sensors, Vol 23, Iss 24, p 9637 (2023)
Prosthetic attack is a problem that must be prevented in current finger vein recognition applications. To solve this problem, a finger vein liveness detection system was established in this study. The system begins by capturing short-term static fing
Externí odkaz:
https://doaj.org/article/c38ca721bce14539adf3076e6dbddf83
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11222 (2023)
Vein segmentation and projection correction constitute the core algorithms of an auxiliary venipuncture device, responding to accurate venous positioning to assist puncture and reduce the number of punctures and pain of patients. This paper proposes
Externí odkaz:
https://doaj.org/article/a819a813c75b455184f4d315579f6eca
Publikováno v:
Complexity, Vol 2021 (2021)
Emergency scheduling of public resources on the cloud computing platform network can effectively improve the network emergency rescue capability of the cloud computing platform. To schedule the network common resources, it is necessary to generate th
Externí odkaz:
https://doaj.org/article/701c4f463ecf42ab9ce0547410701803
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
The study of the robust fatigue feature learning method for the driver’s operational behavior is of great significance for improving the performance of the real-time detection system for driver’s fatigue state. Aiming at how to extract more abstr
Externí odkaz:
https://doaj.org/article/cb5626b35ff34a0e9540bbbd6725c103
Publikováno v:
Sensors, Vol 17, Iss 6, p 1212 (2017)
Fatigued driving is a major cause of road accidents. For this reason, the method in this paper is based on the steering wheel angles (SWA) and yaw angles (YA) information under real driving conditions to detect drivers’ fatigue levels. It analyzes
Externí odkaz:
https://doaj.org/article/9a059c9eeb994256be1fb5c330725dd3
Publikováno v:
WSEAS TRANSACTIONS ON COMPUTERS. 21:283-293
This paper proposes a deep learning scheme to automatically carry out reading recognition in wheel mechanical water meter images. Aiming at these early water meters deployed in old residential compounds, this method based on deep neural networks empl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0799a5f1165d52ed27ba3a1241dfafb
https://doi.org/10.37394/23205.2022.21.35
https://doi.org/10.37394/23205.2022.21.35
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:269-281
In the field of advanced driver assistance systems (ADAS), effective learning of driver fatigue characteristics representation is a major challenge due to uncertainties of both real roads and drivers. To tackle this problem, this paper proposes a nov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6682b4e48e8430bacf1ec61e9279ecc
https://doi.org/10.1109/tvt.2021.3130152
https://doi.org/10.1109/tvt.2021.3130152
Autor:
Hsing-Chung Chen, Agung Mulyo Widodo, Andika Wisnujati, Mosiur Rahaman, Jerry Chun-Wei Lin, Liukui Chen, Chien-Erh Weng
Publikováno v:
Electronics; Volume 11; Issue 6; Pages: 951
Electronics
Electronics
With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such as viruses, fungi, worms, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b48fb059a30cc3e1ac8d0a0506d4f925
Publikováno v:
2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed9e9727635c9c13858666540f4b8cf4
https://doi.org/10.1109/icesit53460.2021.9696490
https://doi.org/10.1109/icesit53460.2021.9696490
Publikováno v:
2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d8defdd5b6772d731d764d45a65b55
https://doi.org/10.1109/icesit53460.2021.9696679
https://doi.org/10.1109/icesit53460.2021.9696679